Senior Data Analyst
Job Summary
Job Description
ShyftLabs is seeking a Senior Data Analyst to determine and document data usage, data gaps, and master data categories. Responsibilities include building visualizations, documenting requirements, executing tests, assisting with documentation, conducting demos, supporting platforms, participating in design and implementation, defining coding standards, performing metadata collection, improving data quality, curating data sets, performing data mining, documenting dataflows, training business partners, leading meetings, mentoring analysts, performing code reviews, and driving root cause analysis. The role requires a proactive approach to identifying and leveraging new features. The company offers a competitive salary, healthcare benefits, and opportunities for employee growth. ShyftLabs is an equal-opportunity employer.
Must have:
- Bachelor's degree in a related field
- Data modeling and ETL processes experience
- Experience with Data Mining
- Experience in customer facing role
- Experience with data visualization
- Experience with Statistics/Analysis
- Experience in Exploratory data analysis via code
- Experience with Process Mining/Documentation
- Experience in Process Flow Creation and Analysis
- Experience with SQL
- Defines SLAs and SLOs for data
- Experience with Relational Databases
- Experience in Master Data/Data Catalog
Perks:
- Competitive salary
- Healthcare insurance and benefits package
- Extensive learning and development resources
10 skills required
Job Details
Position Overview-
Job Responsibilities-
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.
At ShyftLabs, we are looking for a Data Analyst to determine and document data usage, data gaps, and master data categories from source using various technologies and methods such as process and data mining.
ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.
- Build new functionality and visualizations through different coding languages and tools (such as SQL, Tableau, Power BI, Celonis)
- Document conversations with business partners and identify requirements for future development requests.
- Execute thorough testing through test cases developed for local, end to end and integration testing
- Assist in the documentation of functionality and technical operation of code in enterprise repositories
- Conduct functional demos to business and technology stakeholders
- Understand company's infrastructure, cloud, databases, network, systems, security etc.
- Support platforms and functionality through debugging methodologies and develop solutions to support
- Participates in the design and implementation of business functionalities
- Participates in defining coding standards and best practices
- Determines data usage and assists with documentation across source systems
- Identifies master data categories and creates enterprise golden record of data for federation.
- Performs metadata collection and derives data lineage from source to target.
- Improves data quality through technical and business data stewardship programs
- Works closely with business data owners and technical data stewards to curate data sets and products
- Performs data mining exercises and analysis to inform business process efficiency opportunity and data gaps
- Document and understand dataflows and business process flows
- Train business partners in data cataloging, master data, workflows, and application usage
- Leads cross-functional team meetings, documenting action items and next steps
- Partners with and mentors Data Analyst I, II, III
- Leads major project initiatives
- Performs code reviews and provides constructive feedback on best practices
- Create and implement coding standards and best practices
- Drives root cause analysis during critical support incidents
- Keep up to date with new features and releases that could be leveraged to drive better performance, security, and/or functionality for current, proposed, or future workloads.
- Bachelor’s degree, and/or equivalent experience, in related technology, computer science, development, or related field required.
- Data Modeling and ETL (Extract, Transform, and Load) processes
- Data Mining
- Customer (Business Partner) Facing Role
- Data Visualization
- Statistics/Analysis
- Exploratory data analysis via code
- Process Mining/Documentation
- Process Flow Creation and Analysis
- SQL
- Defines SLAs and SLOs for data coming into data lake
- Experience working with Relational Databases
- Master Data/Data Catalog
- Ability to lead and motivate a team, and recognize team and individual successes and challenges
- Excellent listening, verbal and written communication skills
- Excellent analytical skills and attention to detail
- Ability to communicate complex technical information to both technical and non-technical audiences
- Ability to set priorities, manage multiple project timelines and guide the work of team members
- Ability to provide a high level of customer service and maintain excellent customer relationships
- Ability and receptiveness to be mentored in professional and technical development
- Ability to differentiate between “interesting” and “valuable” projects
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